MedaSync creates simple software solutions using data and AI to help Skilled Nursing Facilities streamline MDS management and proactively improve revenue integrity across all-payers.
Insurance complexity is at an all-time high forcing each operator to navigate a multi-payer system unique to their region.
Given the complexity, required expertise and time-consuming nature of reimbursement, the process is too reliant upon people.
Our passionate teams are spread thin from burnout and turnover with the vast majority forced to wear many hats.
What We Do
Continuously working for you in the background, MedaSync’s Artificial Intelligence goes beyond “keywords” or post-MDS scrubbing logic to give your reimbursement teams precious time back while optimizing your community’s reimbursement potential.
AI-Driven Audits
Modern technology that integrates seamlessly into current systems to proactively compare live clinical data against PDPM, RUG or Managed Care criteria to pinpoint reimbursement sensitive discrepancies or changes.
MDS & Case Management Efficiency
Machine learning creates curated summaries and alerts when key changes occur, saving time, effort and energy on manual chart or utilization reviews.
Predictive QM Management
Through continuous patient chart monitoring, MedaSync can identify assessment or function-based quality risks before they appear on the MDS.
Flexibility
Customized and tailored to match the diverse needs of a multi-payer ecosystem encompassing managed care, traditional Medicare and Medicaid as well as state-based quality incentives.
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The Critical Role of Section GG in Nursing Home Medicaid Reimbursement
For skilled nursing facilities (SNFs), precise and comprehensive documentation isn't just a regulatory requirement—it’s a driver of financial stability. One
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Discharge Function Score – A Simple Guide
The Discharge Function Score will be used to assess the functional status of patients at discharge. It is a comparison
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Harnessing AI to Enhance Reimbursement Efficiency
The skilled nursing industry is inherently complex and data-intensive, where accuracy and efficiency are paramount. One area that requires exceptional